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Welcome to Quantiki, the world's leading portal for everyone involved in quantum information science. No matter if you are a researcher, a student or an enthusiast of quantum theory, this is the place you are going to find useful and enjoyable! While here on Quantiki you can: browse our content, including fascinating and educative articles, then create your own account and log in to gain more editorial possibilities.
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We are seeking candidates for a post-doc position (Assegno di Ricerca) at Politecnico di Milano aimed at Post Doctoral researchers who have completed their PhD.
The goal of the research project is to explore synergies between quantum computing and machine learning. The project aims to explore how quantum computing can be used for machine learning and recommender systems tasks, as well as how machine learning can be used to improve the effectiveness of quantum computers (circuit optimization, variational algorithms, etc).
Submitted by
LuWei on Thu, 02/11/2023 - 04:12.
Postdoctoral Researcher position at Texas Tech University
We are looking for a post-doctoral researcher to join Lu Wei’s group at the Department of Computer Science, Texas Tech University, Lubbock, Texas. Candidates with background in computer science, mathematics, or physics are preferred. This individual will be working on the applications of random matrices to quantum information. Lu Wei’s email address is [email protected] and his webpage is sites.google.com/site/homeluwei.
We are seeking a postdoctoral researcher in quantum information theory to contribute to the theoretical side of the project “Exploring new physical laws by accurate quantum measurements in ultra-cold atom platforms” funded by JST CREST “Exploring Quantum Frontiers Through Quantum-Classical Interdisciplinary Fusion” (https://www.jst.go.jp/kisoken/crest/en/research_area/area2023-1.html).
The research group Q3 at the Department of Physics, led by Prof. Igor Jex is looking for a candidate to contribute to the theoretical side of a European project focussed on the development of quantum photonic architectures capable of scalable cluster state generation, and including testing and benchmarking of the implementation, as well as exploring quantum algorithms that can then be demonstrated on these platforms. Successful candidate will be working with several members of the research group, including Dr. Craig Hamilton.
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